no code implementations • 27 May 2024 • Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
Considering the varying information density between masked and unmasked patches in the decoder inputs of MPM, we introduce a locally constrained Mamba-based decoder.
no code implementations • 5 May 2024 • Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang
To address this issue, we propose Invertible Residual Rescaling Models (IRRM) for image rescaling by learning a bijection between a high-resolution image and its low-resolution counterpart with a specific distribution.
1 code implementation • 16 Apr 2024 • Jinmei Liu, Wenbin Li, Xiangyu Yue, Shilin Zhang, Chunlin Chen, Zhi Wang
Finally, by interleaving pseudo samples with real ones of the new task, we continually update the state and behavior generators to model progressively diverse behaviors, and regularize the multi-head critic via behavior cloning to mitigate forgetting.
no code implementations • 15 Apr 2024 • Haojun Sun, Chen Tang, Zhi Wang, Yuan Meng, Jingyan Jiang, Xinzhu Ma, Wenwu Zhu
Diffusion models have emerged as preeminent contenders in the realm of generative models.
1 code implementation • 10 Apr 2024 • Sheng Gong, Yumin Zhang, Zhenliang Mu, Zhichen Pu, Hongyi Wang, Zhiao Yu, Mengyi Chen, Tianze Zheng, Zhi Wang, Lifei Chen, Xiaojie Wu, Shaochen Shi, Weihao Gao, Wen Yan, Liang Xiang
Despite the widespread applications of machine learning force field (MLFF) on solids and small molecules, there is a notable gap in applying MLFF to complex liquid electrolytes.
no code implementations • 8 Apr 2024 • Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang
Quantization is a promising technique for reducing the bit-width of deep models to improve their runtime performance and storage efficiency, and thus becomes a fundamental step for deployment.
1 code implementation • 28 Mar 2024 • Zhi Wang, Geelon So, Ramya Korlakai Vinayak
We study whether the metric can still be recovered, even though it is known that learning individual ideal items is now no longer possible.
no code implementations • 8 Mar 2024 • Zijie Fang, Yifeng Wang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
To tackle this challenge, we propose a MamMIL framework for WSI classification by cooperating the selective structured state space model (i. e., Mamba) with MIL for the first time, enabling the modeling of instance dependencies while maintaining linear complexity.
no code implementations • 4 Feb 2024 • Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang
In this paper, we present NetLLM, the first LLM adaptation framework that efficiently adapts LLMs to solve networking problems.
no code implementations • 23 Jan 2024 • Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia, Zhi Wang
To the best of our knowledge, our method is the first INR-based codec comparable with Hyperprior in both decoding speed and quality while maintaining low complexity.
no code implementations • 3 Jan 2024 • Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu
Conversely, mixed-precision quantization (MPQ) is advocated to compress the model effectively by allocating heterogeneous bit-width for layers.
no code implementations • 19 Dec 2023 • Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
In reinforcement learning, the optimism in the face of uncertainty (OFU) is a mainstream principle for directing exploration towards less explored areas, characterized by higher uncertainty.
1 code implementation • 17 Dec 2023 • Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
Specifically, to learn more compact features, a share-parameter Transformer encoder is introduced to extract point features from the global and local unmasked patches obtained by global random and local block mask strategies, followed by a specific decoder to reconstruct.
Ranked #4 on Few-Shot 3D Point Cloud Classification on ModelNet40 10-way (20-shot) (using extra training data)
1 code implementation • 12 Dec 2023 • Zeming Chen, Wenwei Zhang, Xinjiang Wang, Kai Chen, Zhi Wang
While the pseudo-label method has demonstrated considerable success in semi-supervised object detection tasks, this paper uncovers notable limitations within this approach.
Ranked #1 on Semi-Supervised Object Detection on COCO 100% labeled data (using extra training data)
no code implementations • 5 Dec 2023 • Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin
Most image compression algorithms only consider uncompressed original image, while ignoring a large number of already existing JPEG images.
no code implementations • 13 Nov 2023 • Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang
Assigning varying compression ratios to workers with distinct data distributions and volumes is thus a promising solution.
no code implementations • 11 Oct 2023 • Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang
Biomarker detection is an indispensable part in the diagnosis and treatment of low-grade glioma (LGG).
no code implementations • 10 Oct 2023 • Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu
It is specifically designed for code-related tasks with both English and Chinese prompts and supports over 40 programming languages.
no code implementations • 19 Aug 2023 • Jie Zhang, Pengcheng Shi, Zaiwang Gu, Yiyang Zhou, Zhi Wang
In this paper, we present Semantic-Human, a novel method that achieves both photorealistic details and viewpoint-consistent human parsing for the neural rendering of humans.
1 code implementation • ICCV 2023 • Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia
Federated Learning (FL) has recently emerged as a promising distributed machine learning framework to preserve clients' privacy, by allowing multiple clients to upload the gradients calculated from their local data to a central server.
1 code implementation • 5 Aug 2023 • Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia
Current solutions for low-resolution text recognition (LTR) typically rely on a two-stage pipeline that involves super-resolution as the first stage followed by the second-stage recognition.
1 code implementation • 1 Aug 2023 • Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen
Evolutionary reinforcement learning (ERL) algorithms recently raise attention in tackling complex reinforcement learning (RL) problems due to high parallelism, while they are prone to insufficient exploration or model collapse without carefully tuning hyperparameters (aka meta-parameters).
no code implementations • 16 Jul 2023 • Hongyu Ding, Yuanze Tang, Qing Wu, Bo wang, Chunlin Chen, Zhi Wang
Existing reward shaping methods for goal-conditioned RL are typically built on distance metrics with a linear and isotropic distribution, which may fail to provide sufficient information about the ever-changing environment with high complexity.
1 code implementation • 16 Jul 2023 • Yiwen Shan, Dong Hu, Zhi Wang
However, those methods mostly ignore either the cross-channel difference or the spatial variation of noise, which limits their capacity in real world color image denoising.
no code implementations • 18 May 2023 • Taolin Zhang, Sunan He, Dai Tao, Bin Chen, Zhi Wang, Shu-Tao Xia
In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improvement on various downstream tasks.
no code implementations • 12 May 2023 • Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, Zhi Wang, Chunlin Chen
In cooperative multi-agent reinforcement learning (MARL), the environmental stochasticity and uncertainties will increase exponentially when the number of agents increases, which puts hard pressure on how to come up with a compact latent representation from partial observation for boosting value decomposition.
no code implementations • 12 May 2023 • Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang
To address this issue, we propose using knowledge soft integration to balance the utilization of multimodal features and the curse of knowledge problem it brings about.
3 code implementations • ICCV 2023 • Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia
To conquer this limitation, we propose a novel Instance-aware Dynamic Prompt Tuning (IDPT) strategy for pre-trained point cloud models.
no code implementations • 29 Mar 2023 • Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang
In this work, the VQVAE focus on feature extraction and reconstruction of images, and the transformers fit the manifold and locate anomalies in the latent space.
no code implementations • 21 Mar 2023 • Fang Hu, Xuexue Sun, Ke Qing, Fenxi Xiao, Zhi Wang, Xiaolu Fan
In this paper, we introduce a novel semi-supervised cell segmentation method called Multi-Microscopic-view Cell semi-supervised Segmentation (MMCS), which can train cell segmentation models utilizing less labeled multi-posture cell images with different microscopy well.
1 code implementation • ICCV 2023 • Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
However, prior supernet training methods that rely on uniform sampling suffer from the gradient conflict issue: the sampled subnets can have vastly different model sizes (e. g., 50M vs. 2G FLOPs), leading to different optimization directions and inferior performance.
no code implementations • 15 Mar 2023 • Tao Liu, Zhi Wang, Hui He, Liangliang Lin, Wei Shi, Ran An, Chenhao Li
Experiments show that under different Non-IID experiment settings, our method can reduce the upload communication cost to about 2. 9% to 18. 9% of the conventional federated learning algorithm when the sparse rate is 0. 01.
no code implementations • 28 Feb 2023 • Yunpeng Bai, Cairong Wang, Shuzhao Xie, Chao Dong, Chun Yuan, Zhi Wang
We use the text-image feature compatibility of the CLIP to alleviate the difficulty of fusing text and image features.
no code implementations • 14 Feb 2023 • Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Yuan Meng, Zhi Wang, Wenwu Zhu
This general and dataset-independent property makes us search for the MPQ policy over a rather small-scale proxy dataset and then the policy can be directly used to quantize the model trained on a large-scale dataset.
no code implementations • 16 Sep 2022 • Yiwen Shan, Dong Hu, Zhi Wang, Tao Jia
Specifically, based on the block-matching, the color image is decomposed into overlapping RGB patches.
no code implementations • 15 Sep 2022 • Zichuan Liu, Yuanyang Zhu, Zhi Wang, Yang Gao, Chunlin Chen
While achieving tremendous success in various fields, existing multi-agent reinforcement learning (MARL) with a black-box neural network architecture makes decisions in an opaque manner that hinders humans from understanding the learned knowledge and how input observations influence decisions.
Multi-agent Reinforcement Learning reinforcement-learning +3
1 code implementation • 17 Jun 2022 • Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri
We study the problem of online multi-task learning where the tasks are performed within similar but not necessarily identical multi-armed bandit environments.
1 code implementation • 24 May 2022 • Zhiwei Hao, Yong Luo, Zhi Wang, Han Hu, Jianping An
To tackle this challenge, we propose a framework termed collaborative data-free knowledge distillation via multi-level feature sharing (CDFKD-MFS), which consists of a multi-header student module, an asymmetric adversarial data-free KD module, and an attention-based aggregation module.
no code implementations • 22 May 2022 • Zhi Wang, Chunlin Chen, Daoyi Dong
We use a Dirichlet process mixture to model the non-stationary task distribution, which captures task relatedness by estimating the likelihood of task-to-cluster assignments and clusters the task models in a latent space.
no code implementations • 8 May 2022 • Jiawei Xu, Wenxuan Fu, Haoyu Bu, Zhi Wang, Lingyun Ying
We demonstrate the effectiveness of our methods and the low training cost requirement of SeqNet in our experiments.
1 code implementation • 29 Apr 2022 • Shuzhao Xie, Yuan Xue, Yifei Zhu, Zhi Wang
With the advancement of deep learning techniques, major cloud providers and niche machine learning service providers start to offer their cloud-based machine learning tools, also known as machine learning as a service (MLaaS), to the public.
no code implementations • 21 Apr 2022 • Chen Tang, Haoyu Zhai, Kai Ouyang, Zhi Wang, Yifei Zhu, Wenwu Zhu
We propose to feed different data samples with varying quantization schemes to achieve a data-dependent dynamic inference, at a fine-grained layer level.
no code implementations • 16 Apr 2022 • Jinmei Liu, Zhi Wang, Chunlin Chen, Daoyi Dong
Second, BPR algorithms usually require numerous samples to estimate the probability distribution of the tabular-based observation model, which may be expensive and even infeasible to learn and maintain, especially when using the state transition sample as the signal.
1 code implementation • 16 Mar 2022 • Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, YaoWei Wang, Wen Ji, Wenwu Zhu
For example, MPQ search on ResNet18 with our indicators takes only 0. 06 s, which improves time efficiency exponentially compared to iterative search methods.
no code implementations • 10 Mar 2022 • Xiaohan Lan, Yitian Yuan, Xin Wang, Long Chen, Zhi Wang, Lin Ma, Wenwu Zhu
New benchmarking results indicate that our proposed evaluation protocols can better monitor the research progress.
no code implementations • 6 Mar 2022 • Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong
In this paper, we propose a new method based on local communication learning to tackle the multi-agent RL (MARL) challenge within a large number of agents coexisting.
no code implementations • 24 Feb 2022 • YuAn Wang, Wei Zhuo, Yucong Li, Zhi Wang, Qi Ju, Wenwu Zhu
To solve this problem, we proposed a bootstrapped training scheme for semantic segmentation, which fully leveraged the global semantic knowledge for self-supervision with our proposed PGG strategy and CAE module.
Ranked #13 on Unsupervised Semantic Segmentation on COCO-Stuff-27
no code implementations • ACL 2022 • Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu
However, large language model pre-training costs intensive computational resources and most of the models are trained from scratch without reusing the existing pre-trained models, which is wasteful.
no code implementations • 29 Sep 2021 • Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Junjie Ye, Chenjia Bai, Pengyi Li
Many exploration strategies are built upon the optimism in the face of the uncertainty (OFU) principle for reinforcement learning.
no code implementations • 16 Sep 2021 • Xiaohan Lan, Yitian Yuan, Xin Wang, Zhi Wang, Wenwu Zhu
In this survey, we give a comprehensive overview for TSGV, which i) summarizes the taxonomy of existing methods, ii) provides a detailed description of the evaluation protocols(i. e., datasets and metrics) to be used in TSGV, and iii) in-depth discusses potential problems of current benchmarking designs and research directions for further investigations.
no code implementations • 11 Sep 2021 • Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang
To improve fine-grained image hashing, we propose Pyramid Hybrid Pooling Quantization (PHPQ).
1 code implementation • 9 Sep 2021 • Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin, Xutong Wang
Therefore, we propose an improved stegomalware EvilModel.
1 code implementation • 19 Jul 2021 • Zhi Wang, Chaoge Liu, Xiang Cui
In this paper, we present a new method to covertly and evasively deliver malware through a neural network model.
no code implementations • NeurIPS 2021 • Chicheng Zhang, Zhi Wang
We study multi-task reinforcement learning (RL) in tabular episodic Markov decision processes (MDPs).
no code implementations • 11 Jun 2021 • Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu
Our theoretical results show that OSAMD can fast adapt to changing environments with active queries.
no code implementations • 24 Apr 2021 • Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu
Task-agnostic knowledge distillation, a teacher-student framework, has been proved effective for BERT compression.
no code implementations • 15 Apr 2021 • Yuanyang Zhu, Zhi Wang, Chunlin Chen, Daoyi Dong
In this paper, we focus on efficient navigation with the RL technique and combine the advantages of these two kinds of methods into a rule-based RL (RuRL) algorithm for reducing the sample complexity and cost of time.
1 code implementation • 25 Mar 2021 • Zhi Wang, Yiwen Guo, WangMeng Zuo
In this paper, we advocate adversarial training for improving the generalization ability to both unseen facial forgeries and unseen image/video qualities.
1 code implementation • 7 Mar 2021 • Linghan Meng, Yanhui Li, Lin Chen, Zhi Wang, Di wu, Yuming Zhou, Baowen Xu
To tackle this problem, we propose Sample Discrimination based Selection (SDS) to select efficient samples that could discriminate multiple models, i. e., the prediction behaviors (right/wrong) of these samples would be helpful to indicate the trend of model performance.
no code implementations • 12 Feb 2021 • Jiang-Xiazi Lin, Ya-Hui Zhang, Erin Morissette, Zhi Wang, Song Liu, Daniel Rhodes, K. Watanabe, T. Taniguchi, James Hone, J. I. A. Li
Strong electron correlation and spin-orbit coupling (SOC) provide two non-trivial threads to condensed matter physics.
Mesoscale and Nanoscale Physics Materials Science Strongly Correlated Electrons
no code implementations • 22 Jan 2021 • Yitian Yuan, Xiaohan Lan, Xin Wang, Long Chen, Zhi Wang, Wenwu Zhu
All the results demonstrate that the re-organized dataset splits and new metric can better monitor the progress in TSGV.
no code implementations • 7 Jan 2021 • Yufei Zhao, Qiushi Yao, PengFei Liu, Jingzhi Han, Zhi Wang, Qihang Liu
The kernel of the study of magnetic quantum materials focuses on the magnetic phase transitions, among which the most common phenomenon is the transition between low-temperature magnetic-ordered phase to high-temperature paramagnetic phase.
Materials Science
no code implementations • 1 Jan 2021 • Jinyi Liu, Zhi Wang, Jianye Hao, Yan Zheng
Recently, the principle of optimism in the face of (aleatoric and epistemic) uncertainty has been utilized to design efficient exploration strategies for Reinforcement Learning (RL).
3 code implementations • 7 Dec 2020 • Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan Rhys Griffiths, Alexandre Max Maraval, Hao Jianye, Jun Wang, Jan Peters, Haitham Bou Ammar
Our results on the Bayesmark benchmark indicate that heteroscedasticity and non-stationarity pose significant challenges for black-box optimisers.
Ranked #1 on Hyperparameter Optimization on Bayesmark
2 code implementations • 2 Nov 2020 • Olivier Adjoua, Louis Lagardère, Luc-Henri Jolly, Arnaud Durocher, Thibaut Very, Isabelle Dupays, Zhi Wang, Théo Jaffrelot Inizan, Frédéric Célerse, Pengyu Ren, Jay W. Ponder, Jean-Philip Piquemal
Perspectives toward the strong-scaling performance of our multi-node massive parallelization strategy, unsupervised adaptive sampling and large scale applicability of the Tinker-HP code in biophysics are discussed.
Computational Physics Distributed, Parallel, and Cluster Computing Mathematical Software Chemical Physics
1 code implementation • 29 Oct 2020 • Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri
In many real-world applications, multiple agents seek to learn how to perform highly related yet slightly different tasks in an online bandit learning protocol.
1 code implementation • 13 Oct 2020 • Abu Naser, Mehran Sadeghi Lahijani, Cong Wu, Mohsen Gavahi, Viet Tung Hoang, Zhi Wang, Xin Yuan
In order for High-Performance Computing (HPC) applications with data security requirements to execute in the public cloud, the cloud infrastructure must ensure the privacy and integrity of data.
Distributed, Parallel, and Cluster Computing Cryptography and Security
1 code implementation • 13 Oct 2020 • Abu Naser, Cong Wu, Mehran Sadeghi Lahijani, Mohsen Gavahi, Viet Tung Hoang, Zhi Wang, Xin Yuan
The cloud infrastructure must provide security for High-Performance Computing (HPC) applications of sensitive data to execute in such an environment.
Distributed, Parallel, and Cluster Computing Cryptography and Security
1 code implementation • 9 Oct 2020 • Zhi Wang, Chunlin Chen, Daoyi Dong
Instance novelty measures an instance's difference from the previous optimum in the original environment, while instance quality corresponds to how well an instance performs in the new environment.
no code implementations • 16 Sep 2020 • Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin, Jiaxi Liu, Di wu, Qixu Liu
The defender can limit the attacker once it is exposed.
no code implementations • 14 Sep 2020 • Wenxin Xiong, Christian Schindelhauer, Hing Cheung So, Junli Liang, Zhi Wang
In this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time-difference-of-arrival (TDOA) location estimator in the presence of non-line-of-sight (NLOS) propagation conditions.
no code implementations • 13 Sep 2020 • Wenxin Xiong, Christian Schindelhauer, Hing Cheung So, Zhi Wang
We investigate the problem of time-of-arrival (TOA) based localization under possible non-line-of-sight (NLOS) propagation conditions.
no code implementations • 29 Aug 2020 • Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying
Response process data collected from human-computer interactive items contain rich information about respondents' behavioral patterns and cognitive processes.
1 code implementation • 28 Jul 2020 • Zhi Wang, Chunlin Chen, Daoyi Dong
In this paper, we propose LifeLong Incremental Reinforcement Learning (LLIRL), a new incremental algorithm for efficient lifelong adaptation to dynamic environments.
1 code implementation • 9 Jun 2020 • Xueying Tang, Susu Zhang, Zhi Wang, Jingchen Liu, Zhiliang Ying
In addition, several response process generators and a real dataset of response processes of the climate control item in the 2012 Programme for International Student Assessment are included in the package.
1 code implementation • 17 Sep 2019 • Hongshan Li, Yu Guo, Zhi Wang, Shu-Tao Xia, Wenwu Zhu
Then we train the agent in a reinforcement learning way to adapt it for different deep learning cloud services that act as the {\em interactive training environment} and feeding a reward with comprehensive consideration of accuracy and data size.
Multimedia Image and Video Processing
1 code implementation • 21 Aug 2019 • Chenghao Hu, Jingyan Jiang, Zhi Wang
The emerging concern about data privacy and security has motivated the proposal of federated learning, which allows nodes to only synchronize the locally-trained models instead their own original data.
no code implementations • 16 Aug 2019 • Xueying Tang, Zhi Wang, Jingchen Liu, Zhiliang Ying
In this article, we propose a method to extract latent variables from process data.
no code implementations • 26 Jul 2019 • Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang
Segmenting coronary arteries is challenging, as classic unsupervised methods fail to produce satisfactory results and modern supervised learning (deep learning) requires manual annotation which is often time-consuming and can some time be infeasible.
no code implementations • 5 Jul 2019 • Xueshuo Xie, Zhi Wang, Xuhang Xiao, Lei Yang, Shenwei Huang, Tao Li
In this paper, we use blockchain to prevent logs from being tampered with and propose a pvalue-guided anomaly detection approach.
Cryptography and Security
no code implementations • 3 Jun 2019 • Yue Xu, Wenjun Xu, Zhi Wang, Jia-Ru Lin, Shuguang Cui
Third, this work proposes an offline-evaluation based safeguard mechanism to ensure that the online system can always operate with the optimal and well-trained MLB policy, which not only stabilizes the online performance but also enables the exploration beyond current policies to make full use of machine learning in a safe way.
6 code implementations • 21 Apr 2018 • Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai
To the best of our knowledge, this is the first public dataset which contains samples with sequential dependence of click and conversion labels for CVR modeling.
no code implementations • 20 Feb 2018 • Yueqiang Cheng, Zhi Zhang, Surya Nepal, Zhi Wang
The exploit is motivated by our key observation that the modern OSes have double-owned kernel buffers (e. g., video buffers) owned concurrently by the kernel and user domains.
Cryptography and Security
no code implementations • 14 Dec 2016 • Wenlong Mou, Zhi Wang, Li-Wei Wang
In Valiant's neuroidal model, the hippocampus was described as a randomly connected graph, the computation on which maps input to a set of activated neuroids with stable size.
1 code implementation • 26 Apr 2016 • Yixin Bao, Xiaoke Wang, Zhi Wang, Chuan Wu, Francis C. M. Lau
Nevertheless, the existing studies mostly investigate the problem on a one-off basis, assuming fixed known influence probabilities among users, or the knowledge of the exact social network topology.